Distant microphone speech recognition systems that operate with human-like robustness
remain a distant goal. The key difficulty is that operating in everyday listening conditions …

Distant-microphone automatic speech recognition (ASR) remains a challenging goal in
everyday environments involving multiple background sources and reverberation. This …

With the increasing use of multimedia data in communication technologies, the idea of
employing visual information in automatic speech recognition (ASR) has recently gathered …

Automatic speech recognition (ASR) has become a widespread and convenient mode of
human-machine interaction, but it is still not sufficiently reliable when used under highly …

We consider the problem of acoustic modeling of noisy speech data, where the uncertainty
over the data is given by a Gaussian distribution. While this uncertainty has been exploited …

We consider the framework of uncertainty propagation for automatic speech recognition
(ASR) in highly nonstationary noise environments. Uncertainty is considered as the variance …

We present our joint contribution to the 2nd CHiME Speech Separation and Recognition
Challenge. Our system combines speech enhancement by supervised sparse non-negative …

This paper presents a new corpus comprising single and overlapping speech recorded
using digital MEMS and analogue microphone arrays. In addition to this, the paper presents …

This paper presents a new approach for increasing the robustness of multi-channel
automatic speech recognition in noisy and reverberant multi-source environments. The …

The segregation of concurrent speakers and other sound sources is an important aspect in
improving the performance of audio technology, such as noise reduction and automatic …